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Large-Scale Integrated Energy Systems

Planning and Operation

  • Qing-Hua Wu
  • Jiehui Zheng
  • Zhaoxia Jing
  • Xiaoxin Zhou

Part of the Energy Systems in Electrical Engineering book series (ESIEE)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Qing-Hua Wu, Jiehui Zheng, Zhaoxia Jing, Xiaoxin Zhou
    Pages 1-13
  3. Qing-Hua Wu, Jiehui Zheng, Zhaoxia Jing, Xiaoxin Zhou
    Pages 15-38
  4. Qing-Hua Wu, Jiehui Zheng, Zhaoxia Jing, Xiaoxin Zhou
    Pages 39-72
  5. Qing-Hua Wu, Jiehui Zheng, Zhaoxia Jing, Xiaoxin Zhou
    Pages 73-95
  6. Qing-Hua Wu, Jiehui Zheng, Zhaoxia Jing, Xiaoxin Zhou
    Pages 97-144
  7. Qing-hua Wu, Jiehui Zheng, Zhaoxia Jing, Xiaoxin Zhou
    Pages 145-193

About this book

Introduction

This book discusses key issues in the planning and operation of large-scale integrated energy systems (LSIES). It establishes individual-based models for LSIES and develops multi-objective optimization algorithms and multi-attribute decision making support systems, which are applied to the planning and optimal operation of LSIES. It is a valuable reference work for researchers, students and engineers who are interested in energy systems, operation research and decision theory.

Keywords

Multi-Attribute Decision Making Multi-Objective Optimization Integrated Energy System Planning and Operation District Heating and Cooling Sytems Coordinated Scheduling Strategy

Authors and affiliations

  • Qing-Hua Wu
    • 1
  • Jiehui Zheng
    • 2
  • Zhaoxia Jing
    • 3
  • Xiaoxin Zhou
    • 4
  1. 1.School of Electric Power EngineeringSouth China University of TechnologyGuangzhouChina
  2. 2.School of Electric Power EngineeringSouth China University of TechnologyGuangzhouChina
  3. 3.School of Electric Power EngineeringSouth China University of TechnologyGuangzhouChina
  4. 4.China Electric Power Research InstituteBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-6943-8
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Energy
  • Print ISBN 978-981-13-6942-1
  • Online ISBN 978-981-13-6943-8
  • Series Print ISSN 2199-8582
  • Series Online ISSN 2199-8590
  • Buy this book on publisher's site